Modeling hourly Electricity Spot Market Prices as non stationary functional times series

Dominik Liebl

MPRA Paper from University Library of Munich, Germany

Abstract: The instantaneous nature of electricity distinguishes its spot prices from spot prices for equities and other commodities. Up to now electricity cannot be stored economically and therefore demand for electricity has an untempered effect on electricity prices. In particular, hourly electricity spot prices show a vast range of dynamics which can change rapidly. In this paper we introduce a robust version of functional principal component analysis for sparse data. The functional perspective interprets spot prices as functions of demand for electricity and allows to estimate a single price curve for each day. Variations in market fundamentals such as commodity prices are absorbed by the first principal components.

Keywords: Functional principal component analysis; non stationary functional time series data; sparse data; electricity spot market prices; European Electricity Exchange (EEX). (search for similar items in EconPapers)
JEL-codes: C01 C1 C14 (search for similar items in EconPapers)
Date: 2010-09
New Economics Papers: this item is included in nep-ene
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/25017/1/MPRA_paper_25017.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:25017

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().